AI Medical Compendium

RNA2seg: a generalist model for cell segmentation in image-based spatial transcriptomics.

Genome biology Jan 30, 2026

Imaging-based spatial transcriptomics enables high-resolution spatial mapping of RNA species. A key challenge in imaging-based spatial transcriptomics is accurate cell segmentation to assign each RNA molecule to the right cell. Here, we present RNA2s... read more

Chemical genomics language model toward reliable and explainable compound-protein interaction exploration.

Journal of cheminformatics Jan 30, 2026

Accurate prediction of compound-protein interactions (CPIs) is crucial for chemical biology and drug discovery. Despite recent advancements, existing deep learning (DL)-based CPI models often struggle to simultaneously achieve high generalization per... read more

Machine learning-based clinical prediction model and multi-omics integration for assessing pancreatic cancer risk in new-onset diabetes.

Journal of translational medicine Jan 30, 2026

Guidelines for the adoption of digital pathology in clinical pathology units recommended by the polish society of pathologists.

Diagnostic pathology Jan 30, 2026

These guidelines provide a clear and practical framework for the effective implementation of digital pathology (DP) in routine anatomical pathology practice. Digital pathology, defined as the digitization of microscope slide into high-resolution whol... read more

Parameter-efficient fine-tuning enables scalable transfer of regulatory sequence models to novel contexts.

Genome biology Jan 30, 2026

BACKGROUND: DNA sequence deep learning models can accurately predict epigenetic and transcriptional profiles, enabling analysis of gene regulation and genetic variant effects. While large-scale models like Enformer and Borzoi are trained on abundant ... read more

Evaluating the performance and acceptability of an artificial intelligence digital health exercise platform in females with and without axial spondyloarthritis: a phase I study.

Advances in rheumatology (London, England) Jan 30, 2026

Artificial intelligence in resuscitation - transforming emergency care in the digital age.

Scandinavian journal of trauma, resuscitation and emergency medicine Jan 30, 2026

Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis.

Scandinavian journal of trauma, resuscitation and emergency medicine Jan 30, 2026

BACKGROUND: The gray-to-white matter ratio (GWR) on brain computed tomography (CT) is used to predict neurological outcomes after cardiac arrest. Even though automated methods, such as automatic GWR and machine learning, have been compared to manual ... read more

A hybrid approach to large-scale systematic literature reviews: combining automated tools with text-mining techniques.

BMC research notes Jan 30, 2026

OBJECTIVE: Semi-automated tools used during the preliminary screening of articles in systematic reviews can start with a small set of seed articles and actively learn from human decisions to prioritise more relevant articles for subsequent screening.... read more

The Real Cost in Context: Comparative Surveillance of E-Cigarette Prevention Campaigns on Twitter (2018-2023).

American journal of preventive medicine Jan 30, 2026

INTRODUCTION: E-cigarette prevention campaigns face visibility and sustainability challenges on social media, where provaping content dominates, and coordinated opposition is common. National initiatives such as the Food and Drug Administration's The... read more

Artificial Intelligence Medical Compendium